GF-5高光谱数据在铀矿勘查中的应用

张元涛; 潘蔚; 余长发

doi:10.6046/zrzyyg.2022250

GF-5高光谱数据在铀矿勘查中的应用

1.核工业北京地质研究院,遥感信息与图像分析技术国家级重点实验室,北京 100029

;2.核工业二八〇研究所,德阳 618300

基金项目:
中国核工业集团公司集中研发项目“第四代铀矿勘查关键技术研究与示范(第一阶段)”(中核科发[2021]143号)

国防科技工业局高分专项项目“高分数据(民用部分)在铀资源勘查核查应用技术”(55-Y20A12-9001-16/17)

详细信息

作者简介: 张元涛(1991-),男,博士研究生,主要研究方向为地学目标识别。Email: 809316163@qq.com。

中图分类号: TP79

收稿日期: 2022-06-16

修回日期: 2022-10-12

刊出日期: 2023-12-21

Application of GF-5 hyperspectral data in uranium deposit exploration

1. National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China

;2. No.280 Institute of Nuclear Industry, Deyang 618300, China

Received Date: 16 June 2022

Revised Date: 12 October 2022

Publish Date: 21 December 2023

摘要

摘要: 高分五号(GF-5)卫星自2018年发射以来,利用该型卫星AHSI高光谱数据开展铀矿勘查应用的研究少见报道。为此,以内蒙古卫境地区为研究区,基于GF-5 AHSI数据,采用光谱沙漏技术提取了针铁矿和低铝、中铝及高铝绢云母蚀变异常; 采用主成分变换(principal component analysis,PCA)及PCI Geomatica软件中的LINE模型,自动提取了研究区线性构造,制作了研究区线性构造密度分布图; 最后结合ArcGIS软件,通过对各证据层的整合,制作了研究区铀成矿潜力图。结果表明: 所采用的蚀变信息、线性构造提取以及多证据层整合方法可行,获得的铀成矿潜力图可靠性较高。根据研究结果结合地质资料,圈定了1处铀矿预测区,为该区后续铀矿勘查工作提供了指导,同时也将为GF-5 AHSI数据在地质领域的应用提供参考。
- 高分五号 /
- 高光谱 /
- 蚀变信息 /
- 线性构造 /
- 权重叠加 /
- 铀矿
Abstract: However, since GF-5 launch in 2018, few studies regarding the application of GF-5 AHSI data for uranium deposit exploration have been reported. In this study, with the Weijing area of Inner Mongolia as the study area, the spectral hourglass technology was applied to extract alteration anomalies of goethite and low-, medium-, and high-aluminum sericite from corresponding GF-5 AHSI data. Then, the principal component analysis (PCA) and the LINE module in PCI Geomatica software were employed for the automatic extraction of linear structures in the study area, with a linear structure density map created. Finally, a uranium mineralization potential map of the study area was generated by integrating all proof layers based on the ArcGIS software. The results indicate that the extraction of alteration information and linear structures, and the integration of multiple proof layers are feasible, and the obtained uranium mineralization potential map exhibits high reliability. One uranium deposit prediction zone was identified based on the study results and geological data. The study results will guide the subsequent uranium deposit exploration in the study area while providing a reference for the geological application of GF-5 AHSI data.
- GF-5 /
- hyperspectrum /
- alteration information /
- linear structure /
- weighted overlay /
- uranium deposit